Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in China?

Over the last ten years it is up 30.2%. The long-run trend across the full record is rising.

Where does this China data come from?

The figures come from the World Bank, published as part of Trading across borders: Time to import: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Trading across borders: Time to import: Border compliance (hours) (DB1 in China

Name: Trading across borders: Time to import: Border compliance (hours) (DB1 in China
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

China: Trading across borders: Time to import: Border compliance (hours) (DB1 was 87.58 in 2019. ▲ Rising

Latest (2019)

87.58

Change on year

up 5.3%

World rank

73rd

of 188 countries

All-time high

87.58

in 2019

All-time low

67.27

in 2014

Years of data

2014–2019

Trading across borders: Time to import: Border compliance (hours) (DB1 in China, 2014–2019

Source: World Bank.

Analysis

China recorded 87.58 for trading across borders: time to import: border compliance (hours) (db1 in 2019. That is the highest value across all 6 years on record.

The figure is up 5.3% on the previous year and up 30.2% over ten years.

China ranks 73rd of 188 countries on this measure, in the middle of the range.

Countries ranked near China

70 Ukraine 88.89 compare
71 Singapore 88.53 compare
72 Fiji 87.9 compare
74 El Salvador 87.46 compare
74 Malaysia 87.46 compare
76 Saint Kitts and Nevis 87.05 compare

See the full ranking of 190 places →

More reference data data for China

Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
Emission Totals - Emissions (CH4) - Manure Management 1,546 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 92,945 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 54,644 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 392,076 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 43,889 (2050)

All data for China →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in China?: Trading across borders: time to import: border compliance (hours) (db1 in China was 87.58 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in China?: The highest recorded value was 87.58 in 2019.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in China?: The lowest recorded value was 67.27 in 2014.
How does China rank for trading across borders: time to import: border compliance (hours) (db1?: China ranks 73rd out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in China?: Over the last ten years it is up 30.2%. The long-run trend across the full record is rising.
Where does this China data come from?: The figures come from the World Bank, published as part of Trading across borders: Time to import: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 6 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

About this data

Indicator: Trading across borders: Time to import: Border compliance (hours) (DB16-20 methodology) - Score
Source: World Bank
Licence: CC BY 4.0 (World Bank Open Data)
Coverage: 190 places, 1,139 data points, 2014–2019
Last refreshed: 10 August 2026

The score for the time for border compliance to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB16-20 studies.